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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
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Sample size determination for cardiodynamic ECG assessment using the Concentration-QTc analysis method.

Hongqi Xue1, Georg Ferber2, Ellen Freebern3

  • 1Sr. Principal Biostatistician, Clario, 1818 Market St, Suite 2600, Philadelphia, 19103, PA, USA. Hongqi.Xue@Clario.com.

Journal of Pharmacokinetics and Pharmacodynamics
|August 28, 2025
PubMed
Summary

A new systematic method using t-tests simplifies sample size determination for Concentration-QTc (C-QTc) analysis, a key tool for assessing drug arrhythmogenic risk. This approach offers a clear formula, making it more accessible than complex simulation methods.

Keywords:
CardiodynamicConcentration-QTcICH E14Intersection-union testQTcSample size

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Area of Science:

  • Pharmacology
  • Clinical Trial Design
  • Biostatistics

Background:

  • Concentration-QTc (C-QTc) analysis is an accepted alternative to time-point analysis for drug arrhythmogenic risk assessment per ICH E14 Q&As (R3).
  • C-QTc analysis offers reduced sample size requirements compared to the intersection-union test (IUT), leading to widespread industry adoption.
  • Existing model-based power calculation methods for C-QTc are often complex simulation-based approaches, hindering broad application.

Purpose of the Study:

  • To develop a systematic and accessible method for determining sample size in C-QTc analysis.
  • To provide a clear formula for sample size calculation, addressing the lack of standardization.
  • To facilitate wider adoption of C-QTc analysis by simplifying sample size determination.

Main Methods:

  • Development of a systematic sample size determination method based on t-tests.
  • Application of the t-test based method across various study designs utilizing C-QTc analysis.
  • Validation of the method through comparison with simulation studies and real-world analyses.

Main Results:

  • The developed t-test based method provides a clear formula for sample size calculation in C-QTc studies.
  • Sample sizes determined by this method are consistent with those from complex simulation studies.
  • The method's results have been validated through practical application in numerous studies.

Conclusions:

  • The new systematic method offers a practical and validated approach to sample size determination for C-QTc analysis.
  • This method simplifies the process, making it more accessible for researchers and industry professionals.
  • The findings support the wider implementation of C-QTc analysis by providing a standardized and efficient sample size calculation tool.